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Virtually stages, enhances, decluters, and edits real-estate photos through the AI HomeDesign image API.
Do not connect
A critical issue was found. Do not connect this server as-is.
Scanned 27 days ago Due for re-check
A server can change after it's graded. Re-run the automated scan to refresh this report.
This grade is deterministic and reproducible: the same server surface always yields the same grade under a given algorithm version. It is a real automated assessment computed by the MCPGrade engine from what the probe actually observed — not a fabricated or opinion score. It is not a manual human pentest, so it can miss context-specific risks.
Every signal below was measured directly by the automated probe. The grade is derived only from evidence like this — nothing is assumed.
The AI HomeDesign — Image Optimization MCP server exposes 20 tools, focused primarily on web capabilities. Its published description reads: "Virtually stages, enhances, decluters, and edits real-estate photos through the AI HomeDesign image API". It communicates over Streamable HTTP using the 2025-06-18 protocol revision, and does not require authorization to connect. MCPGrade currently rates AI HomeDesign — Image Optimization F — a critical issue was found and the server should not be connected as-is. Its most notable findings include "Cross-tool shadowing" and "Cross-tool shadowing". This report is a deterministic, reproducible automated assessment: the same observed surface always yields the same grade under a given algorithm version, and it is refreshed as new scans arrive and free to read — but it is not a substitute for a manual human security review. Always re-check AI HomeDesign — Image Optimization's advertised tools, transport security, and authorization posture before connecting an autonomous agent or sharing sensitive context with it.
Add AI HomeDesign — Image Optimization to an MCP client using the endpoint below. Review the grade and findings above before granting an autonomous agent access.
MCP endpoint
https://mcp.aihomedesign.com/api/mcpStreamable HTTP transport. This is the MCP endpoint, not a website — paste it into your MCP client server list rather than a browser.
Captured passively during the read-only scan. Click any value to find servers that match it.
The tools this server advertises via tools/list — names, purposes, and the parameters each accepts, exactly as enumerated read-only.
List every AI HomeDesign tool this MCP can run, grouped by category. Returns each tool's slug, display name, description and whether it needs one or two input images. Start here to discover what is av
List the allowed design styles, room types and widget options. With no argument, returns the global style/room/area lists. With a tool_slug, returns that tool's widgets and their allowed values. The s
Show the input slots, widgets and selectable options for one tool, plus a ready-to-use example payload for `run_process`. Use this before `run_process` when you need the exact widget/item slugs for a
Create a project (a container that groups all work for one property). Returns the new project's `id`.
Sorted worst-first. Each finding shows its severity, what it means, its OWASP MCP Top-10 mapping, and a recommended fix — the check id links to the exact methodology row that produced it.
tool: describe_tool
A tool description tries to alter the model’s use of another tool.
le payload for `run_process`. Use this before `run_process` when you neRecommendationDescriptions must describe only their own tool.
tool: run_process
A tool description tries to alter the model’s use of another tool.
em_slugs}. Use `describe_tool` to get the exact slugs. Returns `process_iRecommendationDescriptions must describe only their own tool.
tool: virtual_staging
A tool exposes a free-text/webhook/feedback parameter with no honest purpose — a classic exfil channel.
parameter "image_url"RecommendationRemove side-channel parameters; constrain tool inputs.
tool: interior_design
A tool exposes a free-text/webhook/feedback parameter with no honest purpose — a classic exfil channel.
parameter "image_url"RecommendationRemove side-channel parameters; constrain tool inputs.
tool: interior_design
A tool description tries to alter the model’s use of another tool.
ame workflow as virtual_staging: never pick the style yourself — ask the user;RecommendationDescriptions must describe only their own tool.
tool: virtual_restaging
A tool exposes a free-text/webhook/feedback parameter with no honest purpose — a classic exfil channel.
parameter "image_url"RecommendationRemove side-channel parameters; constrain tool inputs.
tool: virtual_restaging
A tool description tries to alter the model’s use of another tool.
ame workflow as virtual_staging: ask the user for the style, detect the roomRecommendationDescriptions must describe only their own tool.
tool: enhance_image
A tool exposes a free-text/webhook/feedback parameter with no honest purpose — a classic exfil channel.
parameter "image_url"RecommendationRemove side-channel parameters; constrain tool inputs.
tool: remove_items
A tool exposes a free-text/webhook/feedback parameter with no honest purpose — a classic exfil channel.
parameter "image_url"RecommendationRemove side-channel parameters; constrain tool inputs.
tool: day_to_dusk
A tool exposes a free-text/webhook/feedback parameter with no honest purpose — a classic exfil channel.
parameter "image_url"RecommendationRemove side-channel parameters; constrain tool inputs.
tool: change_wall
A tool exposes a free-text/webhook/feedback parameter with no honest purpose — a classic exfil channel.
parameter "image_url"RecommendationRemove side-channel parameters; constrain tool inputs.
tool: change_floor
A tool exposes a free-text/webhook/feedback parameter with no honest purpose — a classic exfil channel.
parameter "image_url"RecommendationRemove side-channel parameters; constrain tool inputs.
tool: change_ceiling
A tool exposes a free-text/webhook/feedback parameter with no honest purpose — a classic exfil channel.
parameter "image_url"RecommendationRemove side-channel parameters; constrain tool inputs.
tool: (server instructions)
A tool description tries to alter the model’s use of another tool.
cal flow: call `list_capabilities` to see the tools, then a high-level helper sucRecommendationDescriptions must describe only their own tool.
The server accepts tool enumeration (and likely invocation) with no authentication.
RecommendationRequire OAuth 2.1 authorization for any server exposing non-public tools.
tool: create_project
The server advertises open-world / broadly-scoped capabilities.
no annotations on write-capable tool "create_project"RecommendationScope tools to the minimum needed.
tool: create_order
The server advertises open-world / broadly-scoped capabilities.
no annotations on write-capable tool "create_order"RecommendationScope tools to the minimum needed.
tool: remove_items
The server advertises open-world / broadly-scoped capabilities.
no annotations on write-capable tool "remove_items"RecommendationScope tools to the minimum needed.
Vantaj uptime monitoring via MCP — manage monitors, heartbeats, incidents, and status pages.
Unified gateway to Algeria's TKAWEN ecosystem: commerce, certification, and AI tools.
Provides access to the Cohereon Doctrine AI safety framework with governance components, tiered access, and agent onboarding.
Agentic rails for complex workflows with receipts, fees, and MCP tool access.
Structural TC39 spec lookup for ECMA-262 and ECMA-402 in AI agents, SHA-pinned and offline-first.
Structural TC39 spec lookup for ECMA-262 and ECMA-402 in AI agents, SHA-pinned and offline-first.
List your projects (paginated). Optional free-text `search` on address.
Fetch a single project by id.
Upload one or more images and create an order. Provide `image_urls` (public URLs) and/or `image_base64` (raw base64 or data: URLs) — you can use either. Returns `order_id` and an `assets` list whose `
Fetch an order, including its input assets and any processes run on it.
Start an AI job on an existing order (full control over every tool). `asset_map` maps each of the tool's input-slot keys to an asset id from the order. `widgets` is the raw list of {slug, item_slugs}.
Fetch a process: its `status` (pending/processing/done/failed) and, when done, the `final_assets` with downloadable result image URLs. If a webhook result has already arrived for this process, it is r
Poll a process until it is `done` or `failed` (or until timeout), then return the final result image URLs. Respects the API's 5s minimum poll interval.
Furnish an EMPTY room photo with AI furniture in a chosen design style. Provide the photo as `image_url` OR `image_base64` (raw base64 or a data: URL). WORKFLOW — follow exactly: • Do NOT choose a `st
Fully redesign a FURNISHED room (walls, floors, furniture, decor) in a style. Same workflow as virtual_staging: never pick the style yourself — ask the user; detect the room type from the image. Provi
Replace the furniture in an ALREADY-FURNISHED room with a new design style. Same workflow as virtual_staging: ask the user for the style, detect the room type from the image. Provide image_url OR imag
Enhance a photo: better lighting, sharpness and colour balance. No style needed. Provide image_url OR image_base64. area: indoor | outdoor (detect from the image). options (multi, optional): add-fire-
Auto-detect and remove furniture/clutter from a room photo (decluttering), leaving a clean empty space. No style needed. Provide image_url OR image_base64.
Convert a daytime EXTERIOR photo into a dusk / twilight scene. No style needed. Provide image_url OR image_base64. sky_style: leave empty to use the default sky (recommended — the 30+ named sky slugs
Change the wall finish/colour in a room photo (AI applies a tasteful default finish). Detect `space` (room type) from the image. Provide image_url OR image_base64.
Change the floor material in a room photo (AI applies a tasteful default material). Detect `space` from the image. Provide image_url OR image_base64.
Change the ceiling finish in a room photo (AI applies a tasteful default). Detect `space` from the image. Provide image_url OR image_base64.